Find Spotify Mid-Level Software Engineer software engineering jobs

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Backend Engineer - Platform

Spotify is a leading music and podcast streaming platform with hundreds of millions of users.

Spotify, the leading music and podcast streaming platform, is seeking a dedicated and passionate mid-level iOS Engineer to join their Core Experience team in London. As part of this impactful team, you'll work on critical projects for the home screen of the mobile app, which is visited by hundreds of millions of users daily.

In this role, you'll be responsible for building, maintaining, and improving UI components that directly impact user experience. You'll have the opportunity to work with friendly and supportive team members, bringing your unique expertise and style to challenging, high-priority projects that require cross-team collaboration.

Key responsibilities include running features from inception to rollout, collaborating with the Experimentation Platform for A/B testing, managing complex projects alongside staff engineers, and mentoring team members. The ideal candidate should be proficient in Swift, have experience with various iOS frameworks, and possess strong communication skills.

Spotify offers a dynamic work environment where you can make a significant impact on a product used by millions. This hybrid role, based in London, provides an excellent opportunity for growth and learning in a fast-paced, innovative tech company. If you're passionate about iOS development, value quality code, and thrive in collaborative environments, this could be the perfect next step in your career.

Join Spotify as an iOS Engineer II in London, working on core user experiences for millions of users worldwide.

iOS Engineer II, Core Experience

Spotify is a leading audio streaming platform connecting artists and fans through personalized experiences.

We're looking for a Machine Learning Engineer II to join our team focusing on messaging optimization. Through our messaging platform, we communicate with users to connect them with valuable audio content and to help the business grow. The team's vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign at Spotify. Our team is a combination of Machine Learning Engineers, Data Engineers, Backend Engineers and Data Scientists.

**What You'll Do:**
- Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development.
- Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
- Help drive optimisation, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in your mission and across Spotify.

**Who You Are:**
- You have a strong background in machine learning, theory, and practice.
- You are comfortable explaining the intuition and assumptions behind ML concepts, experience in the messaging space is a plus.
- You have hands-on experience implementing and maintaining production ML systems in Python, Scala and using libraries like Tensorflow or PyTorch.
- You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
- You preferably have experience with cloud platforms like GCP or AWS.

**Where You'll Be:**
- For this role you will be based in London.

Join Spotify as a Machine Learning Engineer II to optimize messaging and create personalized user experiences.

Machine Learning Engineer II, Messaging Optimization

Spotify is a global music streaming platform expanding its premium offerings and ads business.

Spotify's Financial Engineering team is pivotal in supporting Spotify's ambitious goal to expand its premium offerings and ads business. By crafting trusted and insightful financial data, our team ensures that Spotify makes data-driven decisions that fuel our global growth strategies.

As a Data Engineer in the Financial Engineering team, you will play a meaningful role in curating, producing, and managing core financial data products. These high-quality datasets, derived from ads, content, subscriptions, and partnerships, enable crucial initiatives such as experimentation, forecasting, financial reporting, and financial planning. You will also be instrumental in building a great foundation for our trusted data layer and understanding its distribution channels to better serve our consumers' needs.

Your responsibilities will include:
- Developing a deep understanding of how our financial data is used by different consumer bases, tailoring our core data products to meet diverse needs
- Building sources of truth for financial transactions and enriching business decisions with foundational financial context
- Designing, prototyping, and building data pipelines that process billions of data points
- Advocating for and implementing standard processes around data quality and engineering
- Applying product thinking to data: managing the data product lifecycle from sourcing to documentation and exposition, always prioritizing consumers' success and experience
- Partnering with engineers, data scientists, finance and business teams to build flexible and intuitive data products supporting Spotify globally
- Defining data models that serve as interfaces to financial domains for the rest of the company
- Leveraging mentorship and constructive feedback to drive accountability and growth within the team

The ideal candidate should have:
- Experience with Data Processing Frameworks like Flink, Beam, Dataflow, or Spark
- Comfort with ambiguity and solving loosely defined problems
- Skills in Cloud-based Environments, preferably Google Cloud Platform
- Strong analytical and problem-solving abilities
- Knowledge of Data Modeling
- Passion for clean code and solid foundation in coding and building data pipelines
- Natural curiosity and love for exploring and understanding data
- Comfort working with large datasets using SQL and data analytics platforms like BigQuery
- Excellent collaboration skills and experience building relationships with diverse customers

Join Spotify's Financial Engineering team and be part of a company that's shaping the future of music streaming and digital content delivery!

Join Spotify as a Data Engineer in Financial Engineering, crafting insightful financial data products to drive global growth strategies.

Data Engineer - Financial Engineering

Spotify is a leading audio streaming platform connecting millions of artists with fans worldwide.

Spotify is seeking a Machine Learning Engineer II to join their Activation, Retention, Conversion studio within the Machine Learning product area. This role focuses on building robust and scalable machine learning solutions to personalize activation, retention, and conversion funnels, improving key business metrics like SUBS and MAU. The position is part of the White Mouse squad, which optimizes plan upsell targeting across Spotify.

As a Machine Learning Engineer II, you'll contribute to designing, building, and refining Spotify's product through hands-on ML development. You'll collaborate with a multi-functional agile team to create new product features that connect artists and fans in personalized ways. Your responsibilities include prototyping new approaches, productionizing solutions at scale, and driving optimization and testing to improve quality.

The ideal candidate has a strong background in machine learning theory and practice, with hands-on experience in implementing production ML systems using Python, Scala, or similar languages. Experience with TensorFlow is a plus. You should be comfortable with building data pipelines and be self-sufficient in obtaining the necessary data for model building and evaluation. Familiarity with cloud platforms like GCP or AWS is preferred.

This role offers the opportunity to work on cutting-edge machine learning projects that directly impact Spotify's hundreds of millions of active users. You'll be part of an active community of ML practitioners, contributing to Spotify's mission of personalizing the audio experience for listeners throughout their user journey.

Join Spotify in either their London or Stockholm office and be part of a team that's shaping the future of personalized audio content and driving business growth through innovative machine learning solutions.

Spotify seeks a Machine Learning Engineer II to build personalized ML solutions for user engagement and conversion.

Machine Learning Engineer II

Spotify is a leading music streaming platform giving millions of creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Spotify is seeking a Backend Engineer II to join their Awareness & Acquisition team. This team is responsible for building in-app experiences that encourage users to share Spotify with others, including the popular Wrapped feature and SEO initiatives. The role involves collaborating with cross-functional teams to create end-to-end features for millions of users, architecting and developing Java services, and participating in the full lifecycle of backend services.

The ideal candidate will have strong object-oriented programming skills, experience with cloud-native software, and a collaborative mindset. They will work on exciting projects like Daylist and new voting features for award shows. The position offers the opportunity to drive technical initiatives and contribute to Spotify's mission of connecting artists with fans.

Spotify offers a flexible work environment, allowing employees to work from various locations in North America or remotely. The company provides competitive compensation, including equity, and a comprehensive benefits package. This is an excellent opportunity for a mid-level engineer looking to make a significant impact in a dynamic, music-focused tech company.

Spotify seeks a Backend Engineer II to build innovative features for millions of users, offering competitive pay and benefits in a flexible work environment.

Backend Engineer II

Spotify is the world's most popular audio streaming subscription service, transforming music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer to join their Advertising Product & Technology team. This role offers an exciting opportunity to work on scaling Spotify's Free Product and Podcast Monetization Mission, impacting hundreds of millions of fans and thousands of advertisers.

As a Backend Engineer, you'll be at the forefront of building a next-generation advertising platform, working on product features, advertiser publishing tools, and insights and reporting functionalities. You'll collaborate with cross-functional teams to develop complex technical solutions for podcast and ad services technology platforms.

Key responsibilities include designing scalable backend systems and APIs, architecting and developing Java services for millions of users, and working with data processing frameworks like Scio, Storm, Spark, and Google Cloud Platform. You'll be a technical leader in an agile team, contributing to Spotify's backend developer community and driving architecture across the company.

The ideal candidate has 4+ years of experience as a Backend Engineer, proficiency in Java, and a track record of working with stakeholders to develop APIs and systems. You should have experience with distributed, high-volume services and an interest in big data processing. A deep understanding of system design, data structures, and algorithms is essential, along with a commitment to shipping high-quality code.

Spotify offers a competitive salary range of $122,716 - $175,308, plus equity. Benefits include health insurance, six months paid parental leave, a 401(k) plan, monthly meal allowance, and generous paid time off. The role is remote-friendly within the North America region, operating in the Eastern Standard time zone.

Join Spotify and be part of a diverse, inclusive workplace that values creativity and innovation. Help revolutionize the way the world listens to music and podcasts while working with cutting-edge technologies in a dynamic, fast-paced environment.

Spotify seeks a Backend Engineer for its Advertising team to build scalable systems impacting millions of users. 4+ years experience required.

Spotify Mid-Level Software Engineer Software Engineering Jobs

Find Spotify Mid-Level Software Engineer software engineering jobs